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» Inference and Learning in Planning
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AAAI
2010
15 years 7 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
EWRL
2008
15 years 8 months ago
Regularized Fitted Q-Iteration: Application to Planning
We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-i...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
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CICLING
2008
Springer
15 years 8 months ago
Analysis of Joint Inference Strategies for the Semantic Role Labeling of Spanish and Catalan
This paper analyzes two joint inference approaches for semantic role labeling: re-ranking of candidate semantic frames generated by one local model and combination of two distinct ...
Mihai Surdeanu, Roser Morante, Lluís M&agra...
AMAI
2005
Springer
15 years 6 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
LPAR
2005
Springer
15 years 11 months ago
Programming Cognitive Agents in Defeasible Logic
Defeasible Logic is extended to programming languages for cognitive agents with preferences and actions for planning. We define rule-based agent theories that contain preferences ...
Mehdi Dastani, Guido Governatori, Antonino Rotolo,...